Nora Khalil’s research focuses on improving the modeling of halogenated chemical systems—particularly PFAS and halocarbon refrigerants/suppressants—using computational tools and machine learning. She is enhancing the Reaction Mechanism Generator (RMG) to automatically model the thermal degradation of PFAS, a class of environmentally persistent and hazardous compounds, by incorporating accurate quantum chemistry data and developing PFAS-specific reaction…
Halogenated Species in RMG: Adding PFAS Chemistry, Exploring Halocarbon Blends, and Reducing Halocarbon Models with ML
